Daniela Hofmann

Publication Activity (10 Years)

Years Active: 2012-2015
Publications (10 Years): 0

Top Topics

Learning Vector Quantization

Discriminative Features

Class Discrimination

Sparse Approximations

Top Venues

Bielefeld University (PHD)

Education History

Bielefeld University

PHD

Publications

Daniela Hofmann, Andrej Gisbrecht, Barbara Hammer
Efficient approximations of robust soft learning vector quantization for non-vectorial data. Neurocomputing 147 (2015)
Daniela Hofmann, Frank-Michael Schleif, Benjamin Paaßen, Barbara Hammer
Learning interpretable kernelized prototype-based models. Neurocomputing 141 (2014)
Benoît Frénay, Daniela Hofmann, Alexander Schulz, Michael Biehl, Barbara Hammer
Valid interpretation of feature relevance for linear data mappings. CIDM (2014)
Barbara Hammer, Daniela Hofmann, Frank-Michael Schleif, Xibin Zhu
Learning vector quantization for (dis-)similarities. Neurocomputing 131 (2014)
Daniela Hofmann, Barbara Hammer
Sparse approximations for kernel learning vector quantization. ESANN (2013)
Daniela Hofmann, Andrej Gisbrecht, Barbara Hammer
Efficient Approximations of Kernel Robust Soft LVQ. WSOM (2012)
Andrej Gisbrecht, Daniela Hofmann, Barbara Hammer
Discriminative Dimensionality Reduction Mappings. IDA (2012)
Daniela Hofmann, Barbara Hammer
Kernel Robust Soft Learning Vector Quantization. ANNPR (2012)